activity
20202024
most citedOptimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024

Knowledge Transfer for Collaborative Misbehavior Detection in Untrusted Vehicular Environments

Roshan Sedar, Charalampos Kalalas, Paolo Dini +3

Vehicular mobility underscores the need for collaborative misbehavior detection at the vehicular edge. However, locally trained misbehavior detection models are susceptible to adve…

eess.SY202211 cited

Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach

Pavol Mulinka, Subham Sahoo, Charalampos Kalalas +1

In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters. As fault detection and di…

eess.SY2022

A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics

Alexander Beattie, Pavol Mulinka, Subham Sahoo +4

Timely and accurate detection of anomalies in power electronics is becoming increasingly critical for maintaining complex production systems. Robust and explainable strategies help…

eess.SP2020

Reconfigurable Intelligent Surface-Aided Grant-Free Access for Uplink URLLC

Dick Carrillo Melgarejo, Charalampos Kalalas, Arthur Sousa de Sena +1

Reconfigurable intelligent surfaces (RISs) have been recently considered as one of the emerging technologies for future communication systems by leveraging the tuning capabilities…

eess.SP2020

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou +8

This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and mac…